Robust fault reconstruction for linear parameter varying systems using sliding mode observers

SUMMARYThis paper presents a robust fault detection and isolation scheme using a sliding mode observer based on a linear parameter varying system, with fault reconstruction capability. Both actuator and sensor fault reconstruction schemes are considered that possess robustness against a certain clas...

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Bibliographic Details
Published in:International journal of robust and nonlinear control 2014-09, Vol.24 (14), p.1947-1968
Main Authors: Alwi, Halim, Edwards, Christopher
Format: Article
Language:English
Subjects:
Actuators
fault detection
Faults
LPV systems
Mathematical models
Nonlinearity
Observers
Reconstruction
Sensors
Sliding mode
sliding modes
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Summary:SUMMARYThis paper presents a robust fault detection and isolation scheme using a sliding mode observer based on a linear parameter varying system, with fault reconstruction capability. Both actuator and sensor fault reconstruction schemes are considered that possess robustness against a certain class of uncertainty and corrupted measurements. For actuator fault reconstruction, the input distribution matrix (associated with the actuators being monitored) is factorized into fixed and varying components. LMIs are used to design the key observer parameters in order to minimize the effect of uncertainty and measurement corruption on the fault reconstruction signal. The faults are reconstructed using the output error injection signal associated with the nonlinear term of the sliding mode observer. For sensor fault reconstruction, the idea is to reformulate the problem into an actuator fault reconstruction scenario so that the same design procedure can be applied. This is achieved by augmenting the original system with the filtered sensors being monitored. Simulations using a full nonlinear model of a large transport aircraft are presented and show good fault reconstruction performance. Copyright © 2013 John Wiley & Sons, Ltd.
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.3009